Lead Data Engineer - Risk Tech, Python, AWS

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Requirements Bachelor’s Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 7+ years of experience in application development including Python, SQL, Golang, Java or Scala (Preferred) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (Preferred) 4+ years experience with Distributed data/computing tools (MapReduce, Flink, EMR, Kafka, Spark, or MySQL) (Preferred) 4+ year experience working on real-time data and streaming applications (Preferred) 4+ years of experience with SQL implementation(PostgreSQL) and NoSQL implementation (DynamoDB) (Preferred) 4+ years of data warehousing experience (Snowflake or Redshift) (Preferred) 4+ years of experience with UNIX/Linux including basic commands and shell scripting (Preferred) 2+ years of experience with Agile engineering practices (Preferred) Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion (Preferred) Must be authorized to work in the U.S. without sponsorship. Core Competencies Demonstrates expertise in full-stack development, leveraging programming languages such as Java, Scala, and Python, along with cloud computing platforms like AWS and Azure. Proficient in big data technologies and data warehousing solutions, with a strong focus on collaboration and Agile practices. Highest-signal resume keywords Full-Stack Development Cloud Computing (AWS, Azure, Google Cloud) Big Data Technologies (MapReduce, Spark, Kafka) Data Warehousing (Snowflake, Redshift) Agile Engineering Practices ATS Optimization Keywords Hard Skills Java Scala Python SQL Golang NoSQL (DynamoDB) RDBMS (PostgreSQL) Distributed Computing Data Warehousing UNIX/Linux Soft Skills Collaboration Mentoring Communication Problem-Solving Adaptability Industry Keywords Agile Machine Learning Microservices Real-Time Data Streaming Applications Tools & Technologies AWS Microsoft Azure Google Cloud Redshift Snowflake MapReduce Flink EMR Kafka Spark #J-18808-Ljbffr Jobtailor